Data fusion in earth observation and the role of citizen as a sensor: A scoping review of applications, methods and future trends
A Karagiannopoulou, A Tsertou, G Tsimiklis, A Amditis - Remote Sensing, 2022 - mdpi.com
Recent advances in Earth Observation (EO) placed Citizen Science (CS) in the highest
position, declaring their essential provision of information in every discipline that serves the …
position, declaring their essential provision of information in every discipline that serves the …
Double prior network for multidegradation remote sensing image super-resolution
M Shi, Y Gao, L Chen, X Liu - IEEE Journal of Selected Topics …, 2023 - ieeexplore.ieee.org
Image super-resolution (SR) is widely used in remote sensing because it can effectively
increase image details. Neural networks have shown remarkable performance in recent …
increase image details. Neural networks have shown remarkable performance in recent …
Subtle land subsidence elevates future storm surge risks along the Gulf Coast of the United States
We developed a robust InSAR processing strategy that can effectively mitigate severe
decorrelation noise in a large volume of InSAR data. We mapped the average land …
decorrelation noise in a large volume of InSAR data. We mapped the average land …
Accurate persistent scatterer identification based on phase similarity of radar pixels
Phase decorrelation, caused by changes in the surface scattering properties between two
radar acquisitions, is a major limiting factor for interferometric synthetic aperture radar …
radar acquisitions, is a major limiting factor for interferometric synthetic aperture radar …
Land Cover Classification Based on Double Scatterer Model and Neural Networks
K Karachristos, V Anastassopoulos - Geomatics, 2022 - mdpi.com
In this paper, a supervised land cover classification is presented based on the extracted
information from polarimetric synthetic aperture radar (PolSAR) images. The analysis of the …
information from polarimetric synthetic aperture radar (PolSAR) images. The analysis of the …
[PDF][PDF] 基于多波段全极化SAR 图像的建筑轮廓自动提取方法
王泽众, 金燕, 林宽, 上官松涛, 彭凌霄, 仇晓兰 - 电子与信息学报, 2023 - jeit.ac.cn
多波段全极化合成孔径雷达(Multiband-PolSAR) 可以获得地物目标在频率,
极化两个维度上的多个观测量, 在地物信息提取方面具有良好的应用潜力. 然而数据维度增加 …
极化两个维度上的多个观测量, 在地物信息提取方面具有良好的应用潜力. 然而数据维度增加 …
Auto-extraction of Building Outline with Multi-band Polarimetric SAR
Z WANG, Y JIN, K LIN, S SHANGGUAN, L PENG… - 电子与信息学报, 2023 - jeit.ac.cn
Abstract Multi-band Polarimetric Synthetic Aperture Radar (Multiband-PolSAR) has the
capability to obtain multiple observations of ground objects in the two dimensions of …
capability to obtain multiple observations of ground objects in the two dimensions of …
Clasificación semiautomática de especies arbóreas basada en parámetros de rugosidad mediante datos LiDAR aéreos.
A Novo, H González-Jorge… - DYNA-Ingeniería e …, 2022 - search.ebscohost.com
La clasificación automatizada de las especies arbóreas mediante datos LiDAR aéreo de
alta densidad permite realizar un inventario forestal preciso. Este trabajo muestra un …
alta densidad permite realizar un inventario forestal preciso. Este trabajo muestra un …